Learn Data Science and Machine Learning on Microsoft Azure
What you'll learn
- Create visualization charts and business intelligence reports using Power BI
- Perform data cleaning operations using Power Query
- Create advanced charts and analysis using Python in Power BI
- Build machine learning instances on Azure for Computer Vision
- Perform Text Analytics on Microsoft Azure cloud
- No programming experience is required for learning Power BI and you would learn most of the concepts in this course.
- If you have basic python programming skills, it would be useful for creating advanced BI reports in Power BI and can be used with Computer Vision
- But you should have working knowledge of Python programming for writing programs for Computer vision and Text Analytics
Welcome to this course on Data Science and Machine Learning with Microsoft Azure. You would learn various lessons for Data Visualization, Data Cleaning and Data Analysis using Microsoft Power BI. It is a powerful Business Intelligence software that can be used for various domains ranging from creating Analytics dashboard and Business Intelligence reports to fetching information from wide range of data sources. You could also perform various types of data cleaning operations using Power Query. Moreover, if you want to create some advanced types of Analytics charts you can write a few lines of code in python using frameworks such as Matplotlib and Seaborn. And if you want to modify the dataset either by creating derived values based on certain mathematical formula or specified conditions you could perform various Data Modelling operations as well by using creating Calculated fields and by using Power Query editor. In this course you would learn various such concepts with completely practical examples on Power BI Desktop, that can be applied in the similar way on azure cloud.
After you have learned various lessons on Power BI, you would be learning Azure Machine learning in the later sections of this course. Here you would learn to analyze an image using Computer Vision. And you would also learn to perform language detection, sentiment analysis, key phrase extraction and entity recognition using Azure Text Analytics.
Here in this course you will learn following lessons on Data Science using Microsoft Power BI-
Creating Visualization charts such as Bar chart
Donut or Ring chart
Interactive charts and Drill down
Table and Matrix
Date and other Slicers
Creating a calculated field
Map chart and modes
Scatterplot and Animation Playback
Basics of Power Query
Row deletion and Column Split
Replacing Column Values
Creating Advanced reports using Python
Installing Python packages and defining path
Creating a Line chart with matplotlib
Putting labels and creating dashed scatterplot
Moreover you would also learn about Azure Machine Learning with lessons on-
Computer Vision- Create Service
Computer Vision- Analyze image , text in image and generate thumbnail
Text Analytics- Create Service
Text Analytics- Language Detection
Text Analytics- Sentiment Analysis
Text Analytics- Key Phrase Extraction
Text Analytics- Entity Recognition
Who this course is for:
- Anyone who is curious to learn Data Visualization and Data Science with Microsoft Power BI
- And people interested to learn Computer vision and Text Analytics with Microsoft Azure.
I am Self-Taught developer who had worked on various platforms using varied languages, and involved in various Projects both Open Source and Proprietary.
I have developed Web and Android Applications, chrome Extension, worked on various frameworks, fixed bugs for some projects, and explored numerous others. I think education and learning should be free and open, not be bound with restrictions like attending classes or going to college, People from all age groups, gender, faith, race, nations, etc must get equal privilege. When entire world would act this way like being a single FAMILY, we would truly realize VALUE of Knowledge and Human Life.
Currently I am teaching more than 152,000 students from 189 countries across the world.
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.